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powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design
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environmental data analysis - this position offers an exceptional opportunity to grow as a scientist. In RhizoTrack, you will work at the interface of microbiology, chemical ecology, and sustainable agriculture
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signal processing and analysis, particularly working with hyperscanning-EEG datasets experience with applying machine learning to EEG data experience with running experiments with human participants
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biomass, and algae. This project will pioneer the development of a high-resolution assessment framework that integrates techno-economic analysis (TEA), environmental life cycle assessment (E-LCA), and
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will benefit from your analytical insight. Advanced NMR methods and computational data analysis will be compounded to accelerate the understanding of reaction pathways and improved use of desired rather
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for grid support to future power grids and quantify the performance of the developed control. Your work will involve both theoretical analysis and simulation-based validation of the proposed control method
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relevant for the position Work experience in multi-omics data generation and analysis (proteomics, transcriptomics, metabolomics) Experience in microbiology and microbial physiology Experience in handling
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and diagnostic potential? Join a collaborative PhD project at DTU Bioengineering focused on single-cell proteomics–based analysis of circulating tumour cells (CTCs) from patients with small-cell lung
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situ NMR technology, is co-supervisor of the position. Please note that you will be working with another PhD student (position also open), who will be developing NMR techniques for quantitative analysis